Hybrid Graph Neural Networks for Few-Shot Learning

Hybrid Graph Neural Networks for Few-Shot Learning

13 December 2021

Papers citing "Hybrid Graph Neural Networks for Few-Shot Learning"

16 / 16 papers shown

Title
Few-Shot Graph Out-of-Distribution Detection with LLMs Haoyan Xu Zhengtao Yao Yushun Dong Z. Wang Ryan Rossi Mengyuan Li Y. Zhao OODD 63 2 0 28 Mar 2025
Rethinking the Sample Relations for Few-Shot Classification Guowei Yin Sheng Huang Luwen Huangfu Yi Zhang Xiaohong Zhang VLM 35 0 0 23 Jan 2025
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 67 0 0 15 Dec 2024
Covariance-based Space Regularization for Few-shot Class Incremental Learning Yijie Hu Guanyu Yang Zhaorui Tan Xiaowei Huang K. Huang Qiu-Feng Wang CLL 36 0 0 02 Nov 2024
A Survey of Data-Efficient Graph Learning Wei Ju Siyu Yi Yifan Wang Qingqing Long Junyu Luo Zhiping Xiao Ming Zhang GNN 27 26 0 01 Feb 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 11 3 0 13 Jan 2024
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework Jianzong Wang Xulong Zhang Aolan Sun Ning Cheng Jing Xiao 29 1 0 16 Sep 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 19 6 0 30 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 17 6 0 30 Apr 2023
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 19 5 0 17 Dec 2022
Disentangled Generation with Information Bottleneck for Few-Shot Learning Zhuohang Dang Jihong Wang Minnan Luo Chengyou Jia Caixia Yan Qinghua Zheng 19 1 0 29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning Qianyu Guo Hongtong Gong Xu Wei Yanwei Fu Weifeng Ge Yizhou Yu Wenqiang Zhang 14 14 0 28 Nov 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning Ojas Kishorkumar Shirekar Ashutosh Kumar Singh Hadi Jamali Rad 11 5 0 12 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 27 73 0 27 Sep 2022
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017